Diophantine Inference on a Statistical Database
Rowe, Neil C.
MetadataShow full item record
A statistical database is said to be compromisable if individual data items can be inferred from queryable values of statistical aggregates (mean, maximum, count, etc.) ((Denning82), ch. 6). We discuss here some methods, which while only leading to compromise of individual records on occasion, do lead to powerful inferences of other statistical characteristics of a database which may also be sensitive information. These methods use a new technique that has not apparently heretofore been explored, solution of simultaneous Diophantine (integer-solution) equations.
This paper appeared in Information Processing Letters, 18 (1984), 25-31. The equations were redrawn in 2008 and some corrections made.
Showing items related by title, author, creator and subject.
Lowry, Montecue J. (1965);The statistical model assumes a statistical distribution of nuclear density levels in the decay of the compound nucleus. The densities of nuclear levels can be described by a statistical formula in a region containing ...
Pasupathy, Raghu; Szechtman, Roberto; Yucesan, Enver (2010);Ranking and selection (R&S) techniques are statistical methods developed to select the best system, or a subset of systems from among a set of alternative system designs. R&S via simulation is particularly appealing as it ...
MODELING THE IMPACTS OF CLIMATE CHANGE ON TROPICAL CYCLONE FORMATIONS IN THE WESTERN NORTH PACIFIC Carter, Robert B. (Monterey, CA; Naval Postgraduate School, 2019-06);A dynamical-statistical modeling approach was used to investigate climate change impacts on tropical cyclone (TC) formations in the western North Pacific (WNP). Reanalysis data and climate model projections were analyzed ...